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Future prevalence of type 2 diabetes—A comparative analysis of chronic disease projection methods

BACKGROUND: Accurate projections of the future number of people with chronic diseases are necessary for effective resource allocation and health care planning in response to changes in disease burden. AIM: To introduce and compare different projection methods to estimate the number of people with di...

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Autores principales: Voeltz, Dina, Tönnies, Thaddäus, Brinks, Ralph, Hoyer, Annika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901066/
https://www.ncbi.nlm.nih.gov/pubmed/35255104
http://dx.doi.org/10.1371/journal.pone.0264739
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author Voeltz, Dina
Tönnies, Thaddäus
Brinks, Ralph
Hoyer, Annika
author_facet Voeltz, Dina
Tönnies, Thaddäus
Brinks, Ralph
Hoyer, Annika
author_sort Voeltz, Dina
collection PubMed
description BACKGROUND: Accurate projections of the future number of people with chronic diseases are necessary for effective resource allocation and health care planning in response to changes in disease burden. AIM: To introduce and compare different projection methods to estimate the number of people with diagnosed type 2 diabetes (T2D) in Germany in 2040. METHODS: We compare three methods to project the number of males with T2D in Germany in 2040. Method 1) simply combines the sex- and age-specific prevalence of T2D in 2010 with future population distributions projected by the German Federal Statistical Office (FSO). Methods 2) and 3) additionally account for the incidence of T2D and mortality rates using partial differential equations (PDEs). Method 2) models the prevalence of T2D employing a scalar PDE which incorporates incidence and mortality rates. Subsequently, the estimated prevalence is applied to the population projection of the FSO. Method 3) uses a two-dimensional system of PDEs and estimates future case numbers directly while future mortality of people with and without T2D is modelled independently from the projection of the FSO. RESULTS: Method 1) projects 3.6 million male people with diagnosed T2D in Germany in 2040. Compared to 2.8 million males in 2010, this equals an increase by 29%. Methods 2) and 3) project 5.9 million (+104% compared to 2010) and 6.0 million (+116%) male T2D patients, respectively. CONCLUSIONS: The results of the three methods differ substantially. It appears that ignoring temporal trends in incidence and mortality may result in misleading projections of the future number of people with chronic diseases. Hence, it is essential to include these rates as is done by method 2) and 3).
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spelling pubmed-89010662022-03-08 Future prevalence of type 2 diabetes—A comparative analysis of chronic disease projection methods Voeltz, Dina Tönnies, Thaddäus Brinks, Ralph Hoyer, Annika PLoS One Research Article BACKGROUND: Accurate projections of the future number of people with chronic diseases are necessary for effective resource allocation and health care planning in response to changes in disease burden. AIM: To introduce and compare different projection methods to estimate the number of people with diagnosed type 2 diabetes (T2D) in Germany in 2040. METHODS: We compare three methods to project the number of males with T2D in Germany in 2040. Method 1) simply combines the sex- and age-specific prevalence of T2D in 2010 with future population distributions projected by the German Federal Statistical Office (FSO). Methods 2) and 3) additionally account for the incidence of T2D and mortality rates using partial differential equations (PDEs). Method 2) models the prevalence of T2D employing a scalar PDE which incorporates incidence and mortality rates. Subsequently, the estimated prevalence is applied to the population projection of the FSO. Method 3) uses a two-dimensional system of PDEs and estimates future case numbers directly while future mortality of people with and without T2D is modelled independently from the projection of the FSO. RESULTS: Method 1) projects 3.6 million male people with diagnosed T2D in Germany in 2040. Compared to 2.8 million males in 2010, this equals an increase by 29%. Methods 2) and 3) project 5.9 million (+104% compared to 2010) and 6.0 million (+116%) male T2D patients, respectively. CONCLUSIONS: The results of the three methods differ substantially. It appears that ignoring temporal trends in incidence and mortality may result in misleading projections of the future number of people with chronic diseases. Hence, it is essential to include these rates as is done by method 2) and 3). Public Library of Science 2022-03-07 /pmc/articles/PMC8901066/ /pubmed/35255104 http://dx.doi.org/10.1371/journal.pone.0264739 Text en © 2022 Voeltz et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Voeltz, Dina
Tönnies, Thaddäus
Brinks, Ralph
Hoyer, Annika
Future prevalence of type 2 diabetes—A comparative analysis of chronic disease projection methods
title Future prevalence of type 2 diabetes—A comparative analysis of chronic disease projection methods
title_full Future prevalence of type 2 diabetes—A comparative analysis of chronic disease projection methods
title_fullStr Future prevalence of type 2 diabetes—A comparative analysis of chronic disease projection methods
title_full_unstemmed Future prevalence of type 2 diabetes—A comparative analysis of chronic disease projection methods
title_short Future prevalence of type 2 diabetes—A comparative analysis of chronic disease projection methods
title_sort future prevalence of type 2 diabetes—a comparative analysis of chronic disease projection methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901066/
https://www.ncbi.nlm.nih.gov/pubmed/35255104
http://dx.doi.org/10.1371/journal.pone.0264739
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